Jun Song

Parallel Chromatic MCMC with Spatial Partitioning.

2016 · National Conference on Artificial Intelligence

We introduce a novel approach for parallelizing MCMC inference in models with spatially determined conditional independence relationships, for which existing techniques exploiting graphical model structure are not applicable. Our approach is motivated by a model …

Provably Convergent Policy Optimization via Metric-aware Trust Region Methods

2023 · arXiv (Cornell University)

Trust-region methods based on Kullback-Leibler divergence are pervasively used to stabilize policy optimization in reinforcement learning. In this paper, we exploit more flexible metrics and examine two natural extensions of policy optimization with Wasserstein and …

Masked Self-distilled Transducer-based Keyword Spotting with Semi-autoregressive Decoding

2025 · arXiv (Cornell University)

RNN-T-based keyword spotting (KWS) with autoregressive decoding~(AR) has gained attention due to its streaming architecture and superior performance. However, the simplicity of the prediction network in RNN-T poses an overfitting issue, especially under challenging scenarios, …